JPH0560926B2 - - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION (Industrial Application Field) The present invention is a comprehensive physical evaluation method that detects data regarding the body of a patient and inputs this data into an arithmetic processing device to calculate a comprehensive physical evaluation age. Regarding the method.

(Conventional technology and its problems) Physical fitness diagnosis including measurement of height, weight, skin fat thickness, etc., measurement of muscle strength such as back muscle strength and grip strength, measurement of 50m running time, measurement of vertical jump height, etc. Medical examinations, including tests, urine tests, and X-rays, are commonly performed.

However, these physical examinations, physical fitness examinations,
Not only are there many cases where one or two of the diagnoses are taken into consideration during the health checkup, but even if a comprehensive examination of body shape, physical strength, and health is performed, the data obtained from each diagnosis is Each data was processed separately as body type data, physical strength data, and health level data.

Therefore, when comparing the examinee's body shape, physical strength, and health condition with a standard healthy person, the measured data
The only way to make judgments was to compare each test subject with standard data and judge the degree of positive or negative, and it was not possible to comprehensively recognize the examinee's body shape, physical strength, and health condition by comparing it with a standard healthy person.

(Means for Solving the Problems) The present invention has been made for the purpose of solving the above-mentioned problems, and in order to achieve this purpose, in the present invention, the body shape of the examinee is adjusted to be of the same sex as the examinee. The physical age is detected by comparing the body shape of a standard healthy person of the same age, the physical strength age is detected by comparing the physical strength of the examinee with the standard physical strength, and the physical fitness age is detected by comparing the health level of the examinee with the standard health level. It is a means for detecting a healthy age, inputting these data into a processing device, and comprehensively evaluating the body type age, physical strength age, and healthy age to calculate the comprehensive evaluation age of the body.

[Effect]

Therefore, when performing a comprehensive physical evaluation using the method of the present invention, first, the examinee's body shape, physical strength, and health level are compared with standard data of a standard healthy person of the same sex and age as the examinee, and the body shape, age, Detects physical age and health age and inputs the data to the processing unit.

Then, the processing unit calculates body shape age, physical strength age,
The overall evaluation age is calculated by comprehensively evaluating the health age.

(Example) Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

First, the apparatus used in the example will be explained.

The main devices used in the embodiment are an input device 20, a microcomputer 30, and a display device 40, as shown in FIG.

The input device 20 includes a keyboard 21, a blood pressure monitor 22 that detects the patient's pulse and blood pressure, and a photographing device 23 that photographs the patient's body silhouette.
The thickness detecting device 25 detects the sebum thickness, the ergometer 26 performs gradual load exercise and detects the load power, the stop switch 27 detects the time of standing on one leg with eyes closed, and the near point distance meter detects the near point distance. 28, and a blood property detector 29 for detecting blood properties.

The blood pressure monitor 22, the sebum thickness detection device 25, the ergometer 26, the stop switch 27, and the near point distance meter 2
A recording device 50 is connected to each of the devices 22, 25, 26, 27, and 28, and when an IC card 60 is set in the recording device 50 during measurement with each device 22, 25, 26, 27, and 28, the measured data is converted into an electrical signal. The data is converted and automatically entered into the IC card 60.

Note that the photographing device 23 accurately captures the human body shape.
This allows you to take pictures at a scale of 1/10.

Furthermore, the sebum thickness detection device 25 utilizes the reflection speed of ultrasonic waves.

Furthermore, the ergometer 26 is a bicycle-type load trainer that can apply a quantitative load to evaluate endurance, and the ergometer 26 is a bicycle-type load trainer that can apply a quantitative load to evaluate endurance. This is a gradual load type. Further, the initial load amount can be set arbitrarily. Further, the ergometer 26 has a built-in arithmetic circuit that calculates the power from the exercise time and the amount of work (load x travel distance), and the power is input to the IC card 60 as data.

The display device 40 displays data output from the microcomputer 30, and includes a screen display device 41 for displaying data on a screen, and a printer 42 for printing out data.

Next, the method of this embodiment will be explained step by step using the apparatus as described above. (See Figure 2).

Before making a diagnosis, please submit one IC card for each patient.
A card 60 is prepared.

In addition, the IC card described below is the same as the IC card 6 above.
Although it indicates the same as 0, since the input data are not the same, a to n are added to the reference numeral 60.

Then, the IC card 60 is pressed by the keyboard 21.
Enter the patient's gender, age, height, and weight (step 1).

Next, blood is collected (Step 21), and the lipids (total cholesterol, HDL cholesterol), nitrogen components (BUN), enzymes (GOT,
GPT, ALP, LDH), hemoglobin, glycated hemoglobin, and total bilirubin are measured using the blood property detector 29 (Step 3).

Perform the following measurements during blood property measurements.

Next, the blood pressure and pulse rate at rest are measured using the blood pressure monitor 22, and the measurement data is input into the IC card 60a (Step 4).

Next, the photographing device 23 photographs the patient's body silhouette. Photograph the body silhouette from two directions: the front and the side (Step 5).

Then, the silhouette photograph 231 taken by the photographing device 23 is converted into an electrical signal by the digitizer 24,
The data is input into the IC card 60b as graphic data (Step 6).

Next, the upper arm sebum thickness and the back sebum thickness are detected by the sebum thickness detection device 25, and each data is input into the IC card 60c (Step 7).

Next, the time for standing on one leg with eyes closed is measured, and the data is input into the IC card 60d (Step 8).

In addition, the standing time on one leg with eyes closed is the time the patient can stand on one leg with eyes closed, and is the time at which the patient holds the stopwatch 27 in his or her hand during measurement, and the time at which one foot is lifted off the floor and the time at which both feet are on the floor. Operate the switch at the time and measure.

Next, the ergometer 26 performs a gradually increasing load exercise until the set pulse rate is reached, and the sphygmomanometer 22 detects the load blood pressure and pulse rate.

Note that the set pulse rate is set to a value smaller than the maximum pulse rate (160 beats/min).

This exercise is performed in two types, light load exercise and heavy load exercise, by changing the amount of load set at the start of exercise and the gradual increase in load, and detects the power when the set pulse rate is reached for each of light load exercise and heavy load exercise. Then, the light load work rate and heavy load work rate are calculated using the IC card 60.
Input data to f, 60j (Step 10,
Step 14).

The heavy-load exercise should be performed a certain period of time, for example, 10 minutes after the end of the light-load exercise, during which time the near-point distance is measured using the near-point distance meter 28, and the data is recorded.
Input data to IC card 60h (Step 12).
Blood pressure measurement is performed after light-load exercise and after heavy-load exercise (step 11, step 15). In addition, pulse measurement is performed from before the start of light-load exercise to after the end of heavy-load exercise, and the pulse rate before the start of light-load exercise and before heavy-load exercise is measured.
Data is input into the IC cards 60e and 60i (Step 9, Step 13). Note that the near point distance is the distance between the eye and a point on the line of sight (near point) at which the eye can see clearly with extreme adjustment.

Next, the blood data measured by the blood property detector 29 is input into the IC card 60l using the keyboard 21 (Step 16).

Then, the input data of the IC card 60m is input to the microcomputer 30, arithmetic processing is performed based on each input data, and the calculated value is inputted to the IC card 60m (step 17).

Next, after processing the input data and arithmetic processing results input to the IC card 60n based on the display program, the microcomputer 30
The data is outputted to the screen display device 41 and displayed on the screen (step 18).

Displaying the arithmetic processing results on the screen on the screen display device 41 in this manner makes it possible to consult with an advisor on the spot.

Furthermore, the input data and calculation processing results of the IC card 60n are outputted to the printer 42 and printed out on an appropriate paper to form a comprehensive physical evaluation card 43.
(step 19).

After the measurement, the IC card 60n is stored.

By storing the data of several past comprehensive evaluations in the IC card 60, it is possible to easily compare the current data with past data. In this case, changes over time can be seen at a glance by displaying current data and past data at the same time, such as the comprehensive physical evaluation card 43 shown in Figure 3, at the screen display or printout stage. You can also do it like this.

You can also delete the oldest data each time you enter new data.

The arithmetic processing shown in FIG. 4 will be explained below.

The degree of obesity is calculated from the height and weight of the examinee.
From the front and side silhouettes, the digitizer 24 measures body balance such as acromion horizontality, crown inclination, rounded back, and abdominal protrusion, and calculates body fat percentage from the sebum thickness (Steps 171 to 173).

The degree of obesity is the percentage by which the examinee's weight exceeds the standard weight (the weight of a normal healthy person of the same sex, age, and height as the examinee).
Body fat percentage is the ratio of fat mass to body weight.

Also, the acromion horizontality is the vertical deviation A between the left and right acromion points o and p, and the crown inclination is the vertical line between the vertex q and the center line of the body (the vertical line passing through the center between the left and right heels).
The degree of roundness is the ratio of the horizontal distance C between the most prominent point r on the back and the base of the neck S to the height, and the degree of abdominal protrusion is the ratio between the most prominent point r on the back and the base of the neck S. It is measured from the horizontal distance D from the most prominent point v on the abdomen (see Figure 5).

In addition, the light load (heavy load) maximum power (maximum pulse Calculate the work rate when .

Furthermore, the light load (heavy load) maximum work time (exercise time required to reach the maximum pulse rate) is calculated by adding the power at the start of exercise and the gradual increase in power due to the gradual increase in load to this light load (heavy load) maximum power. is calculated, and the light load (heavy load) maximum workload is calculated from the light load (heavy load) maximum work time and the light load (heavy load) maximum work rate (Steps 174 to 176).

Here, if the maximum workload for light loads is w ₁ , the maximum workload for heavy loads is w ₂ , the maximum workload for light loads is t ₁ , and the maximum workload for heavy loads is t ₂ , then the maximum workload w and the maximum workload t are As shown _in FIG. _{6 , the} relationship between .

Aerobic power (aerobic energy, or endurance) of the straight line w=N+Mt is estimated, and anerobic power (anaerobic energy, or muscular strength) is estimated from the intercept N (Steps 177, 178).

Furthermore, the degree of fatigue (stamina) is estimated from the area surrounded by w=Mt, w=N, and t=tx (predetermined work time) (Step 179).

In addition, in FIG. 5, tx=t2, and the shaded area shows the degree of fatigue when the load exercise is performed until reaching the maximum pulse rate.

Further, the maximum oxygen intake (VO ₂ max) is calculated from the aerobic power M and the anerobic power N based on the following formula (Step 180).

VO ₂ max = {k ₁ (M + N) + k ₂ } × k ₃ (k ₁ , k ₂ , k ₃ ; coefficient) In addition, fatigue recovery power is calculated from the difference between the pulse rate at the start of light load exercise and the pulse rate during heavy load exercise. (Step 181).

Next, data on body balance, body fat percentage, obesity level, VO ₂ max, fatigue level, fatigue fatigue and standing time on one leg with eyes closed, near point distance, resting blood pressure, light and heavy load blood pressure, and blood properties are collected. Scores are evaluated by comparing data with data from a standard healthy person of the same sex and age as the patient.

Note that this score evaluation is selected from a graded standard score based on a standard value of 0 according to the rank of the data. Comparison data that serves as a basis for selecting this standard score is stored in advance in the microcomputer for each gender and age, for example, in the form of body fat percentage comparison data table 31 shown in FIG.

Next, based on these evaluation scores, body age, physical age, and health age are calculated (Steps 182 to 184).
These ages depend on the examinee's body shape, physical strength, and
This indicates the age of a standard healthy person and is calculated using the following formula.

Body age = chronological age - (obesity evaluation score + body fat percentage evaluation score + body balance evaluation score) Physical fitness age = chronological age + 1/5 (VO ₂ max evaluation score + fatigue evaluation score + fatigue recovery ability score + eyelid closure score) (Standing time evaluation score + Near point distance evaluation score) Healthy age = Calendar age + Resting systolic blood pressure evaluation score + Load blood pressure evaluation score + Fatigue degree evaluation score + Blood property evaluation score x Blood property evaluation index The blood property evaluation index is This is to balance the blood property evaluation score with respect to age, and is calculated based on age.

From these physical age, physical strength age, and health age, a comprehensive evaluation age is further calculated based on the following formula (Step 185).

Comprehensive evaluation age = 1/3 (physique age + physical fitness age + health age) In addition, this comprehensive evaluation age must be expressed as an overall evaluation index (ratio of body shape, physical strength, and health status of an 18-year-old chronological age as 100). (Step 186).

Below, the formula for calculating this comprehensive evaluation index will be shown separately for men and women.

(For men) Overall evaluation index = 57 - (Overall evaluation age - 18) / 57 × 100 (For women) Overall evaluation index = 62 - (Overall evaluation age - 18) / 62 × 100 This overall evaluation index F is At the stage of screen display (Step 18) or printout (Step 19), the relationship with chronological age E, the patient's overall evaluation index F ₁ ,
If the age of the examinee is shown in a graph as E ₁ , then the changes in the examinee's body shape, physical strength, and health status from age 18 onward are estimated by a straight line passing through (E ₁ , F ₁ ) and (18, 100). Ru. That is, it is possible to predict future body shape, physical strength, and health condition based on current living conditions.

Furthermore, by drawing a straight line with F = 20 (total evaluation index 20%), it is also possible to estimate the age at which a person reaches the limit of exertion (the limit of being able to exert oneself).

Although the embodiments of the present invention have been described above in detail with reference to the drawings, the specific configuration is not limited to these embodiments, and the present invention may be modified without departing from the gist of the present invention. included.

For example, in the embodiment, a photographing device, a sebum thickness detection device, etc. are used as a body shape age detection means, but a body size detection device that directly detects dimensions such as waist circumference and chest circumference may be used. Alternatively, a muscle strength detection device that directly detects back muscle strength, grip strength, etc. without using an ergometer or the like may be used, and a device other than a blood property detector may be used as the healthy age detection means.

Furthermore, a trade mill (running belt type exercise machine) may be used instead of an ergometer, and an electrocardiograph may be used instead of a blood pressure monitor as a means for detecting pulse.

Furthermore, in the embodiment, the overall evaluation age was calculated by giving equal weight to body type age, physical fitness age, and health age, but the overall evaluation index may be calculated by changing the weight to each age.

Further, in the embodiment, an IC card is used and the recording device is connected to an input device such as a blood pressure monitor or an ergometer, but data may be entered into the IC card using a keyboard without using the recording device. ,
You may also use a floppy disk or cassette tape instead of an IC card.

(Effects of the Invention) As explained above, in the comprehensive body evaluation method of the present invention, the body shape of the examinee is compared with the standard body shape of a standard healthy person of the same sex and age as the examinee, and the body shape age is determined. , detect the physical strength of the examinee by comparing it with the standard physical strength, detect the physical age by comparing the health level of the examinee with the standard health level, and input these data into the arithmetic processing device. This is a comprehensive evaluation of body type age, physical strength age, and health age.
It is possible to perform an accurate comprehensive evaluation that includes your body shape, physical strength, and health condition.

Furthermore, since the comprehensive evaluation of the body is performed based on the comprehensive evaluation age, it is possible to obtain the effect that the examinee's recognition of the overall level of the body relative to a standard healthy person is further enhanced.

In addition to the above-mentioned effects, in the embodiment, since each data is stored in the IC card,
It is not bulky and convenient to store, and by recording data for several comprehensive body evaluations from the past, it can be easily compared with past data.

Furthermore, in the embodiment, a recording device is connected to an input device such as a blood pressure monitor or an ergometer, and the data detected by the input device is automatically read and stored in the IC.
Since the data is input to the card, the time required for recording work can be shortened.

[Brief explanation of the drawing]

Fig. 1 is a block diagram showing the apparatus used in the embodiment of the present invention, Fig. 2 is a diagram showing the flow of the method of the embodiment of the invention shown in Fig. 1, and Fig. 3 shows an example of a comprehensive physical evaluation card. Figure 4 is a block diagram showing the outline of calculation processing, Figure 5 is a diagram showing a silhouette photograph, Figure 6 is a diagram showing the relationship between maximum work amount and maximum work time in progressively increasing load exercise, and Figure 7 is a diagram showing the relationship between maximum work amount and maximum work time in gradual load exercise. It is a figure which shows an example of a comparison data table. 20...Input device, 21...Keyboard (body age detection means), 22...Sphygmomanometer (physical age detection means), 23...Photographing device (body age detection means),
25...Sebum thickness detection device (body age detection means),
26...Ergometer (physical strength age detection means), 2
7... Stop switch (physical age detection means), 2
8... Near point distance meter (physical strength age detection means), 29...
...Blood property detector (healthy age detection means), 30...
...Microcomputer (processing unit).

Claims (1)

[Claims] 1 Detect the physical age of the examinee by comparing the body shape of the examinee with the standard body shape of a standard healthy person of the same sex and age as the examinee, and detect the physical age of the examinee by comparing the physical strength of the examinee with the standard physical strength. Resting blood pressure, exercise stress blood pressure,
Health level data consisting of at least one of fatigue level and blood property data is obtained from the resting blood pressure, exercise stress blood pressure, fatigue level, and blood property data of a standard healthy person, which corresponds to the patient's health level data. Detects healthy age by comparing with health level data,
A comprehensive evaluation method characterized by inputting these data into an arithmetic processing device and comprehensively evaluating body age, physical strength age, and health age to calculate a comprehensive evaluation age of the body.